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84 results for “android”

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zenodo32/100

Limitless per Customer: Understanding and Breaking User and Device Fingerprinting in Android

<p>Dataset and artifacts for the research work &quot;Limitless per Customer: Understanding and Breaking User &amp; Device Fingerprinting in Android&quot;</p>

opencc-by-4.0Aug 2021View details →
zenodo32/100

20 April 4.0 - 7 May 2021 5.0 Prototype - Android - Unity 2019.4.20f1 EXE demo

<p>Artistic practice process, spatialized sound implementation in Unity3D.</p>

opencc-by-4.0Dec 2021View details →
zenodo32/100

Benchmark (Android apps) used for evaluating PermDroid

<p>Real-world Android Apps used in the evaluation part of an ISSTA paper &quot;PermDroid: Automatically Testing Permission-Related Behaviour of Android Applications&quot;.&nbsp;</p>

opencc-by-4.0May 2022View details →
zenodo32/100

Twindroid - System calls traces - Android apps - Extention

<p>TwinDroid - a dataset of system calls traces, from both benign and infected Android apps.</p> <p>For other traces you can visit https://zenodo.org/record/6464808#.Yls2yVyZNH4</p> <p>To trace apps, you can use our script in: https://github.com/RaphaelKhoury/automated-apk-tracing</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Apr 2022View details →
zenodo32/100

Android applications obfuscation analysis

<p>Dataset for the research "Android Software Protection in the Wild: A Survey"</p>

opencc-by-4.0May 2024View details →
zenodo32/100

Multi-Sensor Dataset in outdoor and indoor environment from Android Smart Devices and ULISS

<p>This dataset contains data acquired on various Android smart devices, i.e., smartphone and smartwatches (Mimir, TAU) and ULISS devices (AME-GEOLOC). The surveys have been performed in multiple environment (open-sky, urban canyon, light indoor, deep indoor), in different carrying mode (texting, swinging, pocket). The raw sensor data logged are : GNSS raw measurements and position fix, accelerometer, gyroscope, magnetometer, barometer, step counter/detector. The dataset is provided under the CC-BY 4.0 license. More information are provided inside the ''notes.txt' provided along the dataset, as well as in our related publication.</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

An Empirical Catalog of Code Smells for the Presentation Layer of Android Apps: Appendix

<p>The appendix of our &quot;An Empirical Catalog of Code Smells for the Presentation Layer of Android Apps&quot; paper.</p>

opencc-by-4.0Mar 2019View details →
zenodo32/100

Android Permission

Open the record for dataset details and reuse information.

opencc-by-4.0Aug 2024View details →
zenodo32/100

Android Malware Family Labeling

<p>This repository includes VirusTotal scan reports of samples of two datasets used in the paper.</p> <p>(1) GPset-VT-Reports.zip: the first and second VT scans for the GPset samples.</p> <p>(2) 3rdset-VT-Reports.zip: the first and second VT scans for the 3rdset samples.</p> <p>(3)FusedApp-VT-Reports.zip: the VT scan for the fused (multi-family) samples.</p> <p>Each scan report is a JSON file generated by VirusTotal, including file metadata (e.g., hashes, size), certificate metadata (e.g., thumbprint), VirusTotal-specific data (e.g., submission time), and a list of detection labels assigned by various antivirus engines used to scan the file.</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Frontmatter: Mining Android User Interfaces at Scale

<p>Frontmatter dataset&nbsp;contains user interface models of about 160,000 Android apps.</p>

opencc-by-4.0Jul 2021View details →
zenodo32/100

Limitless per Customer: Understanding and Breaking User & Device Fingerprinting in Android

<p>Dataset and artifacts for the research work &quot;Limitless per Customer: Understanding and Breaking User &amp; Device Fingerprinting in Android&quot;</p>

opencc-by-4.0Aug 2021View details →
zenodo32/100

Towards Fine-granularity Malicious Component Detection for Android Apps

<p>These files are the experiment data of AMCDroid.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; (1) is the dataset used in the experiment (we do not use the VirusShare dataset in 2019 since we failed to download it);</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; (2) is the malicious component detection result of the running example;</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; (3) to (7) are&nbsp;the experiment data in RQ1 to RQ5;</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; (8) is the malicious component detection result of Roaming Mantis; and</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; (9) is the malicious component detection result in internal validity.</p> <p>We will open source&nbsp;the code of AMCDroid after our paper is accepted.</p>

opencc-by-4.0Feb 2023View details →
zenodo32/100

Call Graph Soundness in Android Static Analysis

<pre>## Artifact Folder Structure Below is a brief explanation of each directory of our artifacts: - **dataset/**: Contains the dataset used in our study. - **dynamic_analysis/**: Contains everything needed to reproduce our dynamic analysis experiments. - **static_analysis/**: Contains everything needed to reproduce our static analyses experiments. - **instrumentation/**: Contains the necessary files to instrument the apps for the dynamic analysis. - **SLR/**: Contains the excel files with the papers collected during our Systematic Literature Review (SLR). - **results/**: Contains the results of our static analysis. Please ensure that all the necessary files and resources are present in the respective directories before running any experiments.</pre>

opencc-by-4.0Aug 2023View details →
ClinicalTrials.gov32/100

Measurement of Pulse Pressure Variation and Cardiac Output by a New Application for Android™ (Captesia™)

ClinicalTrials.gov study NCT02692222. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Efficacy and Safety of Android Artificial Pancreas System in Adult Patients With Type 1 Diabetes Mellitus in China

ClinicalTrials.gov study NCT05726461. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Development and Validation of an Android-based Application for Anaesthesia Neuromuscular Monitoring

ClinicalTrials.gov study NCT03605225. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Android Artificial Pancreas System (Android APS) Versus Control-IQ

ClinicalTrials.gov study NCT05165615. IPD Sharing: NO. Countries: 1. Publications: 6.

closedIPD-NOFeb 2026View details →
zenodo28/100

Video of sezect Android app

<p>Video of sezect Android app</p>

opencc-by-4.0Dec 2019View details →
zenodo28/100

CroCoord v1.0 – an Android application for nearly real-time 3D PPP multi-frequency multi-GNSS static surveying using smartphones

<p>Two hour of GNSS data collected on 31st December 2019 on one point with Android dual-frequency smartphone Xiaomi Mi Mix-3 and permanent station in the surrounding of the measured point.</p>

opencc-by-4.0Jan 2020View details →
zenodo28/100

AndroZooOpen: Collecting Large-scale Open Source Android Apps for the Research Community

<p>The raw collected data for the paper</p>

opencc-by-4.0Feb 2020View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record